Resultados de búsqueda - Klinger, Tim

What makes Models Compositional? A Theoretical View: With Supplement por Ram, Parikshit, Klinger, Tim, Gray, Alexander G.

Enlace del recurso

Beyond Sliding Windows: Learning to Manage Memory in Non-Markovian Environments por Tasse, Geraud Nangue, Riemer, Matthew, Rosman, Benjamin, Klinger, Tim

Enlace del recurso

Quantifying artificial intelligence through algorithmic generalization por Ito, Takuya, Campbell, Murray, Horesh, Lior, Klinger, Tim, Ram, Parikshit

Enlace del recurso

Compositional Program Generation for Few-Shot Systematic Generalization por Klinger, Tim, Liu, Luke, Dan, Soham, Crouse, Maxwell, Ram, Parikshit, Gray, Alexander

Enlace del recurso

EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning por Basu, Kinjal, Murugesan, Keerthiram, Chaudhury, Subhajit, Campbell, Murray, Talamadupula, Kartik, Klinger, Tim

Enlace del recurso

Learning interpretable positional encodings in transformers depends on initialization por Ito, Takuya, Cocchi, Luca, Klinger, Tim, Ram, Parikshit, Campbell, Murray, Hearne, Luke

Enlace del recurso

Transformers Learn Faster with Semantic Focus por Ram, Parikshit, Clarkson, Kenneth L., Klinger, Tim, Ubaru, Shashanka, Gray, Alexander G.

Enlace del recurso

Deep RL With Information Constrained Policies: Generalization in Continuous Control por Malloy, Tailia, Sims, Chris R., Klinger, Tim, Liu, Miao, Riemer, Matthew, Tesauro, Gerald

Enlace del recurso

Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games por Malloy, Tailia, Klinger, Tim, Liu, Miao, Riemer, Matthew, Tesauro, Gerald, Sims, Chris R.

Enlace del recurso

Learning in Factored Domains with Information-Constrained Visual Representations por Malloy, Tailia, Liu, Miao, Riemer, Matthew D., Klinger, Tim, Tesauro, Gerald, Sims, Chris R.

Enlace del recurso

Neural Reasoning Networks: Efficient Interpretable Neural Networks With Automatic Textual Explanations por Carrow, Stephen, Erwin, Kyle Harper, Vilenskaia, Olga, Ram, Parikshit, Klinger, Tim, Khan, Naweed Aghmad, Makondo, Ndivhuwo, Gray, Alexander

Enlace del recurso